🧪 The AI Lab← All labs
Playground 1 · Continue the pattern 🔮

Look at the sequence. One item is missing! Tap the choice that comes next. A pattern is predictable — so you can always work out the rule. 🔎

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🔮 Why patterns matter Patterns show up as symmetry, a series (a rule linking the items, like counting by twos), and in our behaviour (habits and routines). Their superpower is predictability — once you spot the rule, you can guess what comes next. That is exactly what computers do too!
Playground 2 · What do you observe? 📊

Here is one week of class attendance (how many students came each day). Read the chart like a detective, then answer the questions. Reading a chart to find a fact is called making an observation. 🕵️

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🕵️ Observe, then conclude Making an observation means finding patterns, trends and key findings in data ("Thursday had the most students"). Drawing a conclusion means understanding and applying those observations to answer a question ("attendance is higher mid-week"). We spot repeats using observation, time-series analysis and data visualisation.
Playground 3 · Decide from what you observe 🧭

Decision-making means choosing an action after thinking carefully about the information. Read each situation, then tap the most sensible decision. ✅

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🤖 From patterns to smart decisions Spotting patterns lets us predict what comes next. Making observations from data and drawing conclusions helps us make better decisions. And finding patterns and similarities in data — by sorting & filtering, statistics and Machine Learning — is exactly what AI does. Try the Classification & Clustering labs to see it!

## Practice 🎯

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